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dachienit

ABAP-ADT-API MCP-Server

by dachienit

unitTestEvaluation

Evaluate unit test results for ABAP classes to verify code functionality and identify issues in development workflows.

Instructions

Evaluates unit test results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clasYesThe class to evaluate.
flagsNoFlags for the unit test evaluation.
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Evaluates unit test results' gives no information about whether this is a read-only operation, whether it modifies data, what permissions might be required, what the typical response format looks like, or any rate limits or side effects. For a tool with no annotation coverage, this description is completely inadequate for understanding its behavioral characteristics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at just three words, with no wasted language. It's front-loaded with the core purpose. However, this conciseness comes at the cost of being under-specified - it's so brief that it fails to provide meaningful guidance. Still, from a pure conciseness perspective, it's efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that this tool has no annotations, no output schema, and operates in a complex domain (unit testing within an ABAP/development environment), the description is severely incomplete. It doesn't explain what 'evaluation' entails, what the expected inputs/outputs are, how it relates to other unit testing tools, or what behavioral characteristics users should expect. For a tool with 2 parameters in this context, the description provides inadequate guidance.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 100%, with both parameters ('clas' and 'flags') having descriptions in the schema. The tool description adds no additional parameter information beyond what's already documented in the schema. According to the scoring rules, when schema coverage is high (>80%), the baseline score is 3 even with no parameter information in the description, which applies here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Evaluates unit test results' is a tautology that essentially restates the tool name 'unitTestEvaluation'. It doesn't specify what 'evaluates' means in practice (analyzing, summarizing, validating?), what kind of evaluation is performed, or what resource is being evaluated beyond the generic 'unit test results'. While it mentions the general domain, it lacks the specific verb+resource clarity needed for effective tool selection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. There are several sibling tools related to unit testing (unitTestOccurrenceMarkers, unitTestRun) and code execution (runClass, runQuery), but the description doesn't help differentiate this tool's specific use case. No context about prerequisites, typical workflows, or when-not-to-use scenarios is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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